Microphysical characteristics of frozen droplet aggregates from deep convective clouds

Junshik Um, Greg M. McFarquhar, Jeffrey L. Stith, Chang Hoon Jung, Seoung Soo Lee, Ji Yi Lee, Younghwan Shin, Yun Gon Lee, Yiseok Isaac Yang, Seong Soo Yum, Byung Gon Kim, Joo Wan Cha, A. Reum Ko

Research output: Contribution to journalArticle

Abstract

During the 2012 Deep Convective Clouds and Chemistry (DC3) experiment the National Science Foundation/National Center for Atmospheric Research Gulfstream V (GV) aircraft sampled the upper anvils of two storms that developed in eastern Colorado on 6 June 2012. A cloud particle imager (CPI) mounted on the GV aircraft recorded images of ice crystals at altitudes of 12.0 to 12.4 km and temperatures (T ) from-61 to-55 °C. A total of 22 393 CPI crystal images were analyzed, all with maximum dimension (Dmax) < 433 μ m and with an average Dmax of 80.7± 45.4 μ m. The occurrence of well-defined pristine crystals (e.g., columns and plates) was less than 0.04% by number. Single frozen droplets and frozen droplet aggregates (FDAs) were the dominant habits with fractions of 73.0% (by number) and 46.3%(by projected area), respectively. The relative frequency of occurrence of single frozen droplets and FDAs depended on temperature and position within the anvil cloud. A new algorithm that uses the circle Hough transform technique was developed to automatically identify the number, size, and relative position of element frozen droplets within FDAs. Of the FDAs, 42.0% had two element frozen droplets with an average of 4.7±5.0 element frozen droplets. The frequency of occurrence gradually decreased with the number of element frozen droplets. Based on the number, size, and relative position of the element frozen droplets within the FDAs, possible three-dimensional (3-D) realizations of FDAs were generated and characterized by two different shape parameters, the aggregation index (AI) and the fractal dimension (Df), that describe 3-D shapes and link to scattering properties with an assumption of spherical shape of element frozen droplets. The AI of FDAs decreased with an increase in the number of element frozen droplets, with larger FDAs with more element frozen droplets having more compact shapes. The Df of FDAs was about 1.20-1.43 smaller than that of black carbon (BC) aggregates (1.53-1.85) determined in previous studies. Such a smaller Df of FDAs indicates that FDAs have more linear chain-like branched shapes than the compact shapes of BC aggregates. Determined morphological characteristics of FDAs along with the proposed reconstructed 3-D representations of FDAs in this study have important implications for improving the calculations of the microphysical (e.g., fall velocity) and radiative (e.g., asymmetry parameter) properties of ice crystals in upper anvil clouds.

Original languageEnglish
Pages (from-to)16915-16930
Number of pages16
JournalAtmospheric Chemistry and Physics
Volume18
Issue number23
DOIs
Publication statusPublished - 2018 Nov 29

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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    Um, J., McFarquhar, G. M., Stith, J. L., Hoon Jung, C., Soo Lee, S., Yi Lee, J., Shin, Y., Gon Lee, Y., Isaac Yang, Y., Soo Yum, S., Kim, B. G., Wan Cha, J., & Ko, A. R. (2018). Microphysical characteristics of frozen droplet aggregates from deep convective clouds. Atmospheric Chemistry and Physics, 18(23), 16915-16930. https://doi.org/10.5194/acp-18-16915-2018